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fix spelling
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@@ -66,12 +66,12 @@ hierarchy by their inclusion relation:
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The component tree may conatain a huge number of regions even for a very simple image as shown in
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The component tree may contain a huge number of regions even for a very simple image as shown in
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the previous image. This number can easily reach the order of 1 x 10\^6 regions for an average 1
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Megapixel image. In order to efficiently select suitable regions among all the ERs the algorithm
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make use of a sequential classifier with two differentiated stages.
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In the first stage incrementally computable descriptors (area, perimeter, bounding box, and euler
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In the first stage incrementally computable descriptors (area, perimeter, bounding box, and Euler's
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number) are computed (in O(1)) for each region r and used as features for a classifier which
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estimates the class-conditional probability p(r|character). Only the ERs which correspond to local
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maximum of the probability p(r|character) are selected (if their probability is above a global limit
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